title: A flexible algorithm framework for closed-loop neuromodulation research systems.
abstract: Modulation of neural activity through electrical stimulation of tissue is an effective therapy for neurological diseases such as Parkinson's disease and essential tremor. Researchers are exploring improving therapy through adjustment of stimulation parameters based upon sensed data. This requires classifiers to extract features and estimate patient state. It also requires algorithms to appropriately map the state estimation to stimulation parameters. The latter, known as the control policy algorithm, is the focus of this work. Because the optimal control policy algorithms for the nervous system are not fully characterized at this time, we have implemented a generic control policy framework to facilitate exploratory research and rapid prototyping of new neuromodulation strategies.
authors.forename: Dave
authors.initials: D
authors.lastname: Carlson
authors.forename: Dave
authors.initials: D
authors.lastname: Linde
authors.forename: Ben
authors.initials: B
authors.lastname: Isaacson
authors.forename: Pedram
authors.initials: P
authors.lastname: Afshar
authors.forename: Duane
authors.initials: D
authors.lastname: Bourget
authors.forename: Scott
authors.initials: S
authors.lastname: Stanslaski
authors.forename: Paul
authors.initials: P
authors.lastname: Stypulkowski
authors.forename: Tim
authors.initials: T
authors.lastname: Denison
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D003198:Computer Simulation; D004558:Electric Stimulation; D020329:Essential Tremor / Q000628:therapy*; D006801:Humans; D008962:Models, Theoretical; D009069:Movement Disorders / Q000628:therapy*; D009422:Nervous System Diseases / Q000628:therapy*; D018377:Neurotransmitter Agents / Q000502:physiology*; D009862:Online Systems; D010300:Parkinson Disease / Q000628:therapy*; D014584:User-Computer Interface
chemical_list: D018377:Neurotransmitter Agents